Volume 17, Numbers 1-2, February 2012
Special Issue:
Repeatable Results in Software Engineering Prediction
- Tim Menzies, Martin Shepperd:
Special issue on repeatable results in software engineering prediction.
1-17

- Brendan Murphy:
The difficulties of building generic reliability models for software.
18-22

- Ingunn Myrtveit, Erik Stensrud:
Validity and reliability of evaluation procedures in comparative studies of effort prediction models.
23-33

- Nikolaos Mittas, Lefteris Angelis:
A permutation test based on regression error characteristic curves for software cost estimation models.
34-61

- Burak Turhan:
On the dataset shift problem in software engineering prediction models.
62-74

- Jesús M. González-Barahona, Gregorio Robles:
On the reproducibility of empirical software engineering studies based on data retrieved from development repositories.
75-89

- Mohammad Azzeh:
A replicated assessment and comparison of adaptation techniques for analogy-based effort estimation.
90-127

Volume 17, Number 3, June 2012
- Serdar Tasiran, M. Erkan Keremoglu, Kivanç Muslu:
Location pairs: a test coverage metric for shared-memory concurrent programs.
129-165

- Renato Maia, Renato Cerqueira, Clarisse Sieckenius de Souza, Tomás Guisasola-Gorham:
A qualitative human-centric evaluation of flexibility in middleware implementations.
166-199

- Hongmin Lu, Yuming Zhou, Baowen Xu, Hareton Leung, Lin Chen:
The ability of object-oriented metrics to predict change-proneness: a meta-analysis.
200-242

- Foutse Khomh, Massimiliano Di Penta, Yann-Gaël Guéhéneuc, Giuliano Antoniol:
An exploratory study of the impact of antipatterns on class change- and fault-proneness.
243-275

- Tomaz Kosar, Marjan Mernik, Jeffrey C. Carver:
Program comprehension of domain-specific and general-purpose languages: comparison using a family of experiments.
276-304

- Krzysztof Wnuk, Martin Höst, Björn Regnell:
Replication of an experiment on linguistic tool support for consolidation of requirements from multiple sources.
305-344

Volume 17, Numbers 4-5, August 2012
- Michael W. Godfrey, Jim Whitehead:
Introduction to the special issue on software repository mining in 2009.
345-347

- Jayalath Ekanayake, Jonas Tappolet, Harald C. Gall, Abraham Bernstein:
Time variance and defect prediction in software projects - Towards an exploitation of periods of stability and change as well as a notion of concept drift in software projects.
348-389

- Yonghee Shin, Robert M. Bell, Thomas J. Ostrand, Elaine J. Weyuker:
On the use of calling structure information to improve fault prediction.
390-423

- Sushil Krishna Bajracharya, Cristina Videira Lopes:
Analyzing and mining a code search engine usage log.
424-466

- Lile Hattori, Michele Lanza, Romain Robbes:
Refining code ownership with synchronous changes.
467-499

- Jim Whitehead, Thomas Zimmermann:
Introduction to the Special Issue on Mining Software Repositories in 2010.
500-502

- Foyzur Rahman, Christian Bird, Premkumar T. Devanbu:
Clones: what is that smell?
503-530

- Marco D'Ambros, Michele Lanza, Romain Robbes:
Evaluating defect prediction approaches: a benchmark and an extensive comparison.
531-577

- Shane McIntosh, Bram Adams, Ahmed E. Hassan:
The evolution of Java build systems.
578-608

Volume 17, Number 6, December 2012
- Rashina Hoda, James Noble, Stuart Marshall:
Developing a grounded theory to explain the practices of self-organizing Agile teams.
609-639

- Fabio Calefato, Daniela Damian, Filippo Lanubile:
Computer-mediated communication to support distributed requirements elicitations and negotiations tasks.
640-674

- Minna Pikkarainen, Outi Salo, Raija Kuusela, Pekka Abrahamsson:
Strengths and barriers behind the successful agile deployment - insights from the three software intensive companies in Finland.
675-702

- Martin Monperrus, Michael Eichberg, Elif Tekes, Mira Mezini:
What should developers be aware of? An empirical study on the directives of API documentation.
703-737

- Cuauhtémoc López Martín, Claudia Isaza, Arturo Chavoya:
Software development effort prediction of industrial projects applying a general regression neural network.
738-756

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